def __init__(self, keypoints, confidence):
super().__init__()
self.keypoints = keypoints
self.confidence = confidence
self.bbox = Pose.get_bbox(self.keypoints)
self.id = None
self.filters = [[OneEuroFilter(), OneEuroFilter()] for _ in range(Pose.num_kpts)]
def __init__(self, keypoints, confidence):
super().__init__()
self.keypoints = keypoints
self.confidence = confidence
self.bbox = Pose.get_bbox(self.keypoints)
self.id = None
self.filters = [[OneEuroFilter(freq=30, mincutoff=1, beta=0.05), \
OneEuroFilter(freq=30, mincutoff=1, beta=0.05)] \
for _ in range(Pose.num_kpts)]
def __init__(self, keypoints, confidence):
super().__init__()
self.keypoints = keypoints
self.confidence = confidence
self.bbox = Pose.get_bbox(self.keypoints)
self.pose_action = None
self.action_fall = None
self.action_normal = None
self.img_pose = None
self.id = None
self.filters = [[OneEuroFilter(), OneEuroFilter()] for _ in range(Pose.num_kpts)]
self.lowerHalfFlag = lowerHalf(self.keypoints)
def __init__(self, keypoints, confidence):
super().__init__()
self.keypoints = keypoints
self.confidence = confidence
found_keypoints = np.zeros((np.count_nonzero(keypoints[:, 0] != -1), 2), dtype=np.int32)
found_kpt_id = 0
for kpt_id in range(keypoints.shape[0]):
if keypoints[kpt_id, 0] == -1:
continue
found_keypoints[found_kpt_id] = keypoints[kpt_id]
found_kpt_id += 1
self.bbox = cv2.boundingRect(found_keypoints)
self.id = None
self.translation_filter = [OneEuroFilter(freq=80, beta=0.01),
OneEuroFilter(freq=80, beta=0.01),
OneEuroFilter(freq=80, beta=0.01)]